Search found 24 items
This research will develop, implement, disseminate, and evaluate reusable, shareable clinical decision support for both patients and clinicians in the area of chronic pain management.
This research will use a clinical decision support tool to identify patients at high risk for type 2 diabetes and text message these patients, offering them in-clinic hemoglobin A1c testing.
This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
This project will apply machine learning against a large data set to develop a model to both understand and predict surgical cancellations on individual pediatric patients at two pediatric surgical sites.
The Patient-Centered Outcomes Research Clinical Decision Support Learning Network (PCOR CDS-LN) will explore the facilitators and barriers to the use of PCOR findings in CDS software and will formulate recommendations for ways to increase the uptake and use of CDS incorporating PCOR findings.
This study assessed the usability and impact of inpatient portals on patient experience, engagement, and perceptions of care.
This project assessed provider mental workload and performance while processing electronic abnormal test results and found that a test result tracking mechanism improved physicians’ clinical performance.
This project enhanced the Children’s Electronic Health Record Format (Format) by identifying a high priority set of 47 functional requirements from the initial larger set, and creating a list of 16 recommended uses of the Format along with implementation notes.
This project assessed and made recommendations about draft Stage 3 Meaningful Use objectives in the areas of care coordination and patient and family engagement.
Using a community-based participatory partnership, this project will delineate the factors that facilitate or limit the use of electronic personal health information management.